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import Claude from "@anthropic-ai/sdk";
import { RESPONSE_LENGTH } from "./logic/constants";
import type { AResult, ChatMessage, OChoice, OChunk, OMessage } from "./types";
import { BOOKWORM_SYS } from "./prompts";
type Message = Claude.Messages.MessageParam;
export default class Conversation {
private tokenizer: (text: string) => number;
private maxTokens: number;
model: string = "claude-3-5-sonnet-20241022";
constructor(
maxTokens = 200_000,
tokenizer: (text: string) => number = (text) => text.length / 3,
) {
this.maxTokens = maxTokens;
this.tokenizer = tokenizer;
}
public setModel(model: string) {
this.model = model;
}
private mapMessages(input: ChatMessage[]): Message[] {
return input.map((m) => {
const role = m.author === "claude" ? "assistant" : "user";
return { role, content: m.text };
});
}
private mapMessagesR1(input: ChatMessage[]): Message[] {
return input.reduce((acc: Message[], m, i) => {
const prev = acc[i - 1];
const role: any = m.author === "claude" ? "assistant" : "user";
const msg = { role, content: m.text };
if (prev?.role === role) acc[i - 1] = msg;
else acc = [...acc, msg];
return acc;
}, []);
}
public async send(sys: string, input: ChatMessage[]) {
const messages = this.mapMessages(input);
const truncated = this.truncateHistory(messages);
const res = await this.apiCall(sys, truncated);
return res;
}
public async sendR1(input: ChatMessage[]) {
const messages = this.mapMessagesR1(input);
const truncated = this.truncateHistory(messages);
const res = await this.apiCall("", truncated, true);
return res;
}
public async sendDoc(data: string) {
const sys = BOOKWORM_SYS;
const msg: Message = {
role: "user",
content: [
{
type: "document",
source: { type: "base64", data, media_type: "application/pdf" },
},
{
type: "text",
text: "Please analyze this according to your system prompt. Be thorough.",
},
],
};
const res = await this.apiCall(sys, [msg]);
return res;
}
public async stream(
sys: string,
input: ChatMessage[],
handle: (c: any) => void,
) {
const messages = this.mapMessages(input);
const truncated = this.truncateHistory(messages);
await this.apiCallStream(sys, truncated, handle);
}
public async streamR1(input: ChatMessage[], handle: (c: any) => void) {
const messages = this.mapMessagesR1(input);
const truncated = this.truncateHistory(messages);
await this.apiCallStream("", truncated, handle, true);
}
private truncateHistory(messages: Message[]): Message[] {
const totalTokens = messages.reduce((total, message) => {
return total + this.tokenizer(message.content as string);
}, 0);
while (totalTokens > this.maxTokens && messages.length > 1) {
messages.splice(0, 1);
}
return messages;
}
// TODO
// https://docs.anthropic.com/en/api/messages-examples#putting-words-in-claudes-mouth
private async apiCall(
system: string,
messages: Message[],
isR1: boolean = false,
): Promise<AResult<string[]>> {
try {
const claud = new Claude();
// const list = await claud.models.list();
// console.log(list.data);
const res = await claud.messages.create({
model: this.model,
max_tokens: RESPONSE_LENGTH,
system,
messages,
});
return {
ok: res.content.reduce((acc: string[], item) => {
if (item.type === "tool_use") return acc;
else return [...acc, item.text];
}, []),
};
} catch (e) {
console.log(e, "error in claude api");
return { error: `${e}` };
}
}
private async apiCallStream(
system: string,
messages: Message[],
handle: (c: any) => void,
isR1: boolean = false,
): Promise<void> {
try {
const claud = new Claude();
const stream = await claud.messages.create({
model: this.model,
max_tokens: RESPONSE_LENGTH,
system,
messages,
stream: true,
});
for await (const part of stream) {
if (part.type === "message_start") continue;
if (part.type === "content_block_start") continue;
if (part.type === "content_block_delta") {
console.log("delta", part.delta);
const delta: any = part.delta;
handle(delta.text);
}
}
} catch (e) {
console.log(e, "error in claude api");
handle(`Error streaming Claude, ${e}`);
}
}
}
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